iPhone 13 Pro
Geekbench AI Score
3812
Single Precision Score
4274
Half Precision Score
3758
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 26 2025 04:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1661
308.9 IPS |
|
|
Image Classification (HP)
|
100% |
1573
292.5 IPS |
|
|
Image Classification (Q)
|
97% |
1451
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2297
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2443
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11287
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12225
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11318
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
100% |
2036
161.5 IPS |
|
|
Object Detection (Q)
|
91% |
1616
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
6031
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
4092
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9068
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7469
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18922
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23178
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21783
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3891
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2407
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
814
14.1 IPS |
